iPhone 14 Pro
Geekbench AI Score
3553
Single Precision Score
6199
Half Precision Score
5040
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | agurenko |
| Upload Date | August 18 2025 08:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
2547
473.6 IPS |
|
|
Image Classification (Q)
|
96% |
1746
326.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1427
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2636
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7081
8.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
15571
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13349
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2904
231.2 IPS |
|
|
Object Detection (Q)
|
94% |
2056
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5992
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3458
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6100
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11551
89.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7964
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19044
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29765
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24486
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4186
154.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5137
189.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3881
143.3 IPS |
|
|
Text Classification (SP)
|
100% |
2717
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4881
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4817
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3524
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6669
115.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6652
115.0 IPS |
